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AssetFrame

About AssetFrame

Market research you can hold to account.

AssetFrame publishes pre-session research on the instruments that matter, then scores it after the fact. For each edition we ship a free one-page Snapshot for everyone and a full Pro report with conditional setups, a price ladder, a calibrated confidence score and the outcome ledger.

The industry runs on unaccountable tips. Signal sellers, alert groups and finance influencers push calls they never grade — survivorship bias does the marketing, and the subscription you keep paying is the only thing being optimised. A call that’s never measured can’t be wrong, so it can never really be right either.

AssetFrame (founded 2026) was built to do the opposite. The analysis is written by an AI research desk with no book to talk, no position to defend and nothing to upsell mid-report — so the read is driven by the evidence, not by someone’s incentive. Every prediction is registered before the session opens and graded against the actual market afterwards, and the whole record stays public — so what you’re judging is the results, not the sales pitch.

Our mission

To make market research falsifiable, scored and transparent. We think the only honest way to earn trust is to commit to specific, checkable calls in advance and then publish how they turned out — wins and losses alike. That accountability is the whole point: the track record, not the rhetoric, is what you should judge us on.

What we stand for

Falsifiable

Every Pro report logs exact levels and an exact window before the session. A vague take can't be graded; ours can be proven right or wrong.

Scored

After the window closes we grade each call against the actual market — Hit, Miss or Not triggered. A deterministic engine decides; no human nudges the result.

Transparent

Results land in an append-only ledger. Nothing is edited, re-tuned or cherry-picked, and the whole record is public. The record is the product.

What AssetFrame is

A research and decision-support service. An AI analyst writes the thesis, scenarios and catalysts; a deterministic Python engine compiles the price levels, the conditional setups and an auditable confidence score, and registers the falsifiable predictions. After each window closes, outcomes are graded into a public, append-only ledger — which then feeds back in as an input, so the system learns which setups and market regimes have actually worked. It’s built for anyone who wants a structured, evidence-led read on an instrument before the session: active traders and investors, the merely curious, and the developers and AI agents who want the same data programmatically.

What AssetFrame is not

AssetFrame is general market research and decision support. It is not investment advice and not a personal recommendation, we never tell anyone to buy or sell, and we place no trades. We don’t guarantee outcomes — markets are uncertain and you can lose money. A calibrated confidence score is an estimate of how a setup may resolve, not a promise of profit. Do your own research and consider an FCA-authorised adviser.